This chapter, Define Knowledge-Producing Role, is the first part of the organization-level activity to determine what kinds of knowledge should be produced by an intelligence organization. To answer this question, the chapter dives deep into two important underlying dynamics that, once addressed, can help determine which organization should produce what knowledge to protect climate security: (1) how close is the new knowledge requirement to an organization’s existing knowledge stock, and (2) what knowledge integration barriers exist between intelligence organizations and the academic community. Examples of situations are provided where the new knowledge requirement is close and distant. Closely related disciplines make it easier to produce new knowledge for a variety of reasons, while it is much more difficult with unrelated disciplines. Factors addressing knowledge integration are very different for the intelligence community and the academic/scientific community. The intelligence community is shaped by an ends-driven motivation based on what policymakers and decision-makers need or want, which is a focus on outcomes, purpose, and accountability. The academic/scientific community, on the other hand, is shaped by a means-driven motivation based on an emphasis on control, methodology, pursuit of factual knowledge, and an independence from immediate application.

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Define Knowledge-Producing Role

  • Adrian Wolfberg

摘要

This chapter, Define Knowledge-Producing Role, is the first part of the organization-level activity to determine what kinds of knowledge should be produced by an intelligence organization. To answer this question, the chapter dives deep into two important underlying dynamics that, once addressed, can help determine which organization should produce what knowledge to protect climate security: (1) how close is the new knowledge requirement to an organization’s existing knowledge stock, and (2) what knowledge integration barriers exist between intelligence organizations and the academic community. Examples of situations are provided where the new knowledge requirement is close and distant. Closely related disciplines make it easier to produce new knowledge for a variety of reasons, while it is much more difficult with unrelated disciplines. Factors addressing knowledge integration are very different for the intelligence community and the academic/scientific community. The intelligence community is shaped by an ends-driven motivation based on what policymakers and decision-makers need or want, which is a focus on outcomes, purpose, and accountability. The academic/scientific community, on the other hand, is shaped by a means-driven motivation based on an emphasis on control, methodology, pursuit of factual knowledge, and an independence from immediate application.